نتایج جستجو برای: radiomic prediction mri
تعداد نتایج: 357714 فیلتر نتایج به سال:
Abstract SIGNIFICANCE Radiomics may improve precision medicine in CAR-T (Chimeric Antigen Receptor T Cell) therapy patient selection. BACKGROUND High-Grade Glioma (HGG) is a heterogenous primary CNS neoplasm with high recurrence rate and poor outcomes. Many studies are exploring CAR cells to combat HGG. Radiomic models have shown value identifying biomarkers predictive of tumor genetics, respon...
OBJECTIVE The purpose of this exploratory study was to investigate whether a quantitative image analysis of the labyrinth in conventional magnetic resonance imaging (MRI) scans using a radiomics approach showed differences between patients with Ménière's disease (MD) and the control group. MATERIALS AND METHODS In this retrospective study, MRI scans of the affected labyrinths of 24 patients w...
Abstract Pediatric low-grade glioma (pLGG) encompasses a variety of tumor subtypes with heterogeneous treatment response and relatively long progression-free survival (PFS). Radiomics may serve as non-invasive in-vivo tool for early prediction PFS surrogate marker to objectively gauge the efficacy novel strategies. Here, we present multivariate model based on radiomic features clinical variable...
Conventional magnetic resonance imaging (cMRI) is poorly sensitive to pathological changes related multiple sclerosis (MS) in normal-appearing white matter (NAWM) and gray (GM), with the added difficulty of not being very reproducible. Quantitative MRI (qMRI), on other hand, attempts represent physical properties tissues, making it an ideal candidate for quantitative medical image analysis or r...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید